Triple
T18378437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Was Monty's Double |
E446376
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Ivan Foxwell
Ivan Foxwell was a British screenwriter and film producer known for his work on mid-20th-century British cinema, including notable war and drama films.
|
E1321299
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ivan Foxwell | Statement: [I Was Monty's Double, screenwriter, Ivan Foxwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivan Foxwell Context triple: [I Was Monty's Double, screenwriter, Ivan Foxwell]
-
A.
Nick Jowett
Nick Jowett is a professional colleague of Ian Fletcher, known for collaborating with him in a shared work context.
-
B.
Ben Brockman
Ben Brockman is a mischievous and quick-witted middle child in the British sitcom "Outnumbered," known for his imaginative questions and offbeat logic.
-
C.
Eric Jumper
Eric Jumper is an American engineer and researcher best known for his pioneering scientific investigations into the Shroud of Turin as part of the Shroud of Turin Research Project.
-
D.
Michael Grunst
Michael Grunst is a German local politician who serves as the borough mayor of Berlin’s Lichtenberg district.
-
E.
Jack Feore
Jack Feore is the son of Canadian-American actor Colm Feore.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ivan Foxwell Triple: [I Was Monty's Double, screenwriter, Ivan Foxwell]
Generated description
Ivan Foxwell was a British screenwriter and film producer known for his work on mid-20th-century British cinema, including notable war and drama films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ivan Foxwell Target entity description: Ivan Foxwell was a British screenwriter and film producer known for his work on mid-20th-century British cinema, including notable war and drama films.
-
A.
Nick Jowett
Nick Jowett is a professional colleague of Ian Fletcher, known for collaborating with him in a shared work context.
-
B.
Ben Brockman
Ben Brockman is a mischievous and quick-witted middle child in the British sitcom "Outnumbered," known for his imaginative questions and offbeat logic.
-
C.
Eric Jumper
Eric Jumper is an American engineer and researcher best known for his pioneering scientific investigations into the Shroud of Turin as part of the Shroud of Turin Research Project.
-
D.
Michael Grunst
Michael Grunst is a German local politician who serves as the borough mayor of Berlin’s Lichtenberg district.
-
E.
Jack Feore
Jack Feore is the son of Canadian-American actor Colm Feore.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179919c881908d55ea24f93c5827 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d77ea9f481909d252120346498ab |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d83fe9a08190b18b9f61ee606372 |
completed | May 13, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d915215c819090023094f1fc47f1 |
completed | May 13, 2026, 1:51 a.m. |
Created at: April 10, 2026, 10:45 a.m.